Voice AI BenchmarksBy

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official resource

Speechmatics voice AI models and benchmarks

Speechmatics develops multilingual speech recognition services.

Measured models
2
STT
Best STT model#14 / 24
223ms
Default

Overview

The service includes diarization, translation, code switching and vocabulary controls, and can be deployed beyond the public cloud.

Every model below is measured daily on the same fixed inputs and ranked against the full field, never blended into a company score.

Model lineup

Speech-to-Text
Default, Enhanced

Speech-to-Text

Full STT dashboard

Ranked on Time to Final Segment against 24 measured models.

Time to Final Segmentms · lower is better · Speechmatics models markedEvery measured STT model on Time to Final Segment, with Speechmatics's models highlighted.
  1. #1STT RT v564 ms
  2. #2Parakeet TDT 0.6B v370 ms
  3. #3STT 183 ms
  4. #4Nova 399 ms
  5. #5Nova 2101 ms
  6. #6Ink 2108 ms
  7. #7Scribe v2 Realtime120 ms
  8. #14Defaultvia Speechmatics223 ms
  9. #17Enhanced341 ms
leaders plus Speechmatics models · 15 other models in the full table
Word Error Rate% · lower is better · Speechmatics models markedEvery measured STT model on Word Error Rate, with Speechmatics's models highlighted.
  1. #1Universal 3.5 Pro3.2%
  2. #2resonant-13.4%
  3. #3Chirp 34.1%
  4. #4Enhanced4.3%
  5. #5GPT-4o Transcribe4.7%
  6. #6Grok STT4.8%
  7. #7STT 14.8%
  8. #14Defaultvia Speechmatics5.5%
leaders plus Speechmatics models · 20 other models in the full table
Time to First Tokenms · lower is better · Speechmatics models markedEvery measured STT model on Time to First Token, with Speechmatics's models highlighted.
  1. #1Universal 3.5 Pro1030 ms
  2. #2Flux1089 ms
  3. #3Flux Multilingual1175 ms
  4. #4Parakeet TDT 0.6B v31210 ms
  5. #5Whisper Large v31241 ms
  6. #6Nova 31434 ms
  7. #7Nova 21436 ms
  8. #9Defaultvia Speechmatics1473 ms
  9. #12Enhanced1536 ms
leaders plus Speechmatics models · 15 other models in the full table
TTFS vs WER — Speechmatics vs every measured modelEach point is one measured STT model · Speechmatics models highlighted · 30-day averagesTime to Final Segment against Word Error Rate for every measured STT model, with Speechmatics's models highlighted.
STT RT v5 — 64 ms, 5.8%Parakeet TDT 0.6B v3 — 70 ms, 11.0%STT 1 — 83 ms, 4.8%Nova 3 — 99 ms, 6.3%Nova 2 — 101 ms, 7.9%Ink 2 — 108 ms, 4.9%Scribe v2 Realtime — 120 ms, 5.5%Universal 3.5 Pro — 146 ms, 3.2%Default via Azure — 155 ms, 5.3%Whisper Large v3 — 180 ms, 8.2%Velma 2 STT Streaming — 191 ms, 6.4%Grok STT — 199 ms, 4.8%Pulse — 205 ms, 5.3%Default via Gradium — 249 ms, 10.0%resonant-1 — 288 ms, 3.4%Voxtral Mini Transcribe Realtime 2602 — 356 ms, 6.2%GPT Realtime Whisper — 559 ms, 5.2%GPT-4o mini Transcribe — 623 ms, 5.1%Solaria 1 — 680 ms, 7.1%GPT-4o Transcribe — 742 ms, 4.7%Chirp 2 — 811 ms, 5.0%Chirp 3 — 813 ms, 4.1%Default via Speechmatics — 223 ms, 5.5%Enhanced — 341 ms, 4.3%
Benchmarked models with their Time to Final Segment over the last 30 days.
ModelHostTTFSRank
DefaultSpeechmatics223 ms14th of 24
EnhancedSpeechmatics341 ms17th of 24

Limits of this comparison

Coval measures its default and Enhanced real-time tiers separately.

  • The benchmark does not score translation or every supported language. The model name `default` is also used by other providers, so it is identified together with the Speechmatics provider name.

Official resources

Same datasets, prompts and metric definitions for every model, measured by Coval’s open-source runner. Full methodology on the overview.

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